{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  draw_particle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "params = {'p_num': 10, 'aff_sig': [0.1, 0.1, 0.4, 0.3]}\n",
    "\n",
    "aff_params = [30, 50, 10, 20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "aff_params_M = np.kron(np.ones((params['p_num'],1)), np.array(aff_params))\n",
    "\n",
    "# First onstruct a 4*p_num size normal distribution with \n",
    "# mean 0 and sigma 1\n",
    "rand_norml_M = np.array([np.random.standard_normal(4) for _ in range(params['p_num'])])\n",
    "\n",
    "# Then construct a affine sigma matrix\n",
    "aff_sig_M = np.kron(np.ones((params['p_num'], 1)), params['aff_sig'])\n",
    "\n",
    "# Update particles \n",
    "aff_params_M += rand_norml_M * aff_sig_M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 30.05841706,  49.97663013,   9.76552821,  19.99608601])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aff_params_M[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import skimage\n",
    "import skimage.io\n",
    "import skimage.transform\n",
    "\n",
    "show = skimage.io.imshow\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as st\n",
    "import os\n",
    "import sys\n",
    "import numpy as np \n",
    "\n",
    "# Import custom class and functions\n",
    "from inputproducer import InputProducer\n",
    "from tracker import TrackerVanilla\n",
    "from vgg16 import Vgg16\n",
    "from selcnn import SelCNN\n",
    "from utils import img_with_bbox, IOU_eval\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/xlws/repos/FCNT_TF/inputproducer.py:107: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  roi =  imresize(img[y1-1:y2, x1-1:x2, :], [self.roi_params['roi_size'], self.roi_params['roi_size']], interp='bicubic')\n"
     ]
    }
   ],
   "source": [
    "## Define varies path\n",
    "DATA_ROOT = 'data/Dog1'\n",
    "IMG_PATH = os.path.join(DATA_ROOT, 'img')\n",
    "GT_PATH = os.path.join(DATA_ROOT, 'groundtruth_rect.txt')\n",
    "\n",
    "inputProducer = InputProducer(IMG_PATH, GT_PATH)\n",
    "img, gt, t  = next(inputProducer.gen_img)\n",
    "roi, roi_pos, preimg, pad = inputProducer.extract_roi(img, gt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def extract_roi_old(img, gt, roi_size):\n",
    "\t\"\"\"Extract ROI from img with target centered.\n",
    "\n",
    "\tReturns:\n",
    "\t    roi: tensor,\n",
    "\t    roi_pos: list of params for roi_pos, [tlx, tly, h, w]\n",
    "\n",
    "\t\"\"\"\n",
    "\tassert max(gt[2:]) <= roi_size\n",
    "\n",
    "\t# Construct an padded img first.\n",
    "\tconvas = np.zeros([img.shape[0]+2*roi_size, img.shape[1]+2*roi_size, 3])\n",
    "\tconvas[roi_size:-roi_size, roi_size:-roi_size] = img\n",
    "\n",
    "\t# Compute target center location in convas\n",
    "\ttlx_convas, tly_convas = gt[0]+roi_size, gt[1]+roi_size\n",
    "\tcx = tlx_convas + int(0.5 * gt[2])\n",
    "\tcy = tly_convas + int(0.5 * gt[3])\n",
    "\n",
    "\t# Crop an roi_size region centered at cx, cy\n",
    "\tscale_sz = max(gt[2:]) * 2.5\n",
    "\thalf = scale_sz // 2\n",
    "\troi = convas[cy-half:cy+half, cx-half:cx+half, :]\n",
    "\n",
    "\t# compute new target pos in roi window\n",
    "\tnew_cx, new_cy = [int(i*0.5) for i in roi.shape[:-1]]\n",
    "\tnew_x = new_cx - gt[2] // 2\n",
    "\tnew_y = new_cx - gt[3] // 2\n",
    "    \n",
    "\troi_resized = imresize(roi, (roi_size, roi_size))\n",
    "\tresize_factor = roi_size / roi.shape[0]\n",
    "\treturn roi_resized, [new_x, new_y, gt[2], gt[3]], resize_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/xlws/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:23: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n"
     ]
    }
   ],
   "source": [
    "roi_o, gt_o, resize_factor = extract_roi_old(img, gt, roi_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc17a8f6d8>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UNBQgCGBsj1pDHPBQ47GrR+igprZiV3QIwxDD4RDtdttpDpVKBY1GA9vb2wDOCrmTZK7X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\nKRRPIYUUcury/9ZdoUYyTvI1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc17b092b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(roi_o.astype(np.uint8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.7777777777777777"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resize_factor "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "from scipy.misc import imresize\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "# resie pre_M to roi_size \n",
    "roi_size = roi.shape[0]\n",
    "pre_M = roi[100:-100, 100:-100,0] # eg\n",
    "pre_M_resized = imresize(pre_M, [roi_size, roi_size], interp='bicubic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1ce66198>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CnuKpJZyS6irli0A3+rFksSXFUwtuFy3uk1U24BMPwyJV+bH8NxZpeWu1cudi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\nno6OjtnRiaejo2N2/H9SaRxoC8DSigAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1d0f2d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(pre_M_resized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# gen particle\n",
    "params= {'aff_sig': [0.4, 0.4, 0.8, 0.7], 'p_num': 20}\n",
    "dof = len(params['aff_sig'])\n",
    "\n",
    "# Construct an p_num*6 size matrix with with each \n",
    "# column repersents one particle\n",
    "\n",
    "#aff_params_M = np.kron(np.ones((self.params['p_num'],1)), np.array(aff_params))\n",
    "\n",
    "# First onstruct a p_num*dof size normal distribution with \n",
    "# mean 0 and sigma 1\n",
    "rand_norml_M = np.array([np.random.standard_normal(dof) for _ in range(params['p_num'])])\n",
    "\n",
    "# Then construct a affine sigma matrix\n",
    "aff_sig_M = np.kron(np.ones((params['p_num'], 1)), params['aff_sig'])\n",
    "\n",
    "# Update particles \n",
    "aff_params_M = rand_norml_M * aff_sig_M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# transform aff_params_M to location_M with each column \n",
    "# repersent [cx, cy, w, h] in the pre_M heat map\n",
    "loc_M = np.zeros(aff_params_M.shape)\n",
    "tlx, tly, w, h = gt\n",
    "\n",
    "cx, cy = roi_size // 2, roi_size // 2\n",
    "\n",
    "loc_M[:, 0] = cx\n",
    "loc_M[:, 1] = cy\n",
    "loc_M[:, 2] = resize_factor * w \n",
    "loc_M[:, 3] = resize_factor * h\n",
    "\n",
    "loc_M += aff_params_M\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62.866274436319465"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loc_M[:, 3].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "loc_M = loc_M.astype(np.int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x,y,w,h = loc_M[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "index 255 is out of bounds for axis 0 with size 224",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-166-9e8445cec0ca>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mroi_t\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mroi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mroi_t\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mh\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mh\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mroi_t\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mroi_t\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mh\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mh\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0.5\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m22\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m: index 255 is out of bounds for axis 0 with size 224"
     ]
    }
   ],
   "source": [
    "# draw on roi\n",
    "roi_t = np.copy(roi)\n",
    "roi_t[y-int(0.5*h): y+int(0.5*h), x-int(0.5*w):x+int(0.5*w)] = 0\n",
    "\n",
    "roi_t[~roi_t[y-int(0.5*h): y+int(0.5*h), x-int(0.5*w):x+int(0.5*w)]] = 22"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mask = np.ma.make_mask(roi, copy=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]],\n",
       "\n",
       "       [[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]],\n",
       "\n",
       "       [[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]],\n",
       "\n",
       "       ..., \n",
       "       [[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]],\n",
       "\n",
       "       [[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]],\n",
       "\n",
       "       [[ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        ..., \n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True],\n",
       "        [ True,  True,  True]]], dtype=bool)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mask = numpy.ma.make_mask_none(a.shape)\n",
    "mask[sel_id] = True\n",
    "answer = numpy.ma.masked_array(a, mask).compressed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc178736a0>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VSn73vmq1GuOPVAAwf2o81GSoXdAcIrfDWJiQhtVut70XqVarYWNjAwC81wk4MXu4AVir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\nGDRrelLIj6A2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1792d748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(roi_t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016696"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(roi[y-int(0.5*h): y+int(0.5*h), x-int(0.5*w):x+int(0.5*w)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "total = np.sum(roi)\n",
    "def _compute_conf(roi, loc_p):\n",
    "    cx,cy,w,h = loc_p\n",
    "    conf = np.sum(roi[y-int(0.5*h): y+int(0.5*h), x-int(0.5*w):x+int(0.5*w)])\n",
    "    return conf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.18449200928011361"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_compute_conf(roi, loc_M[6], total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1771f780>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JbjMC8dww+PJM0iJi+rQnMfX7fZyenqLZbDrNBphPYOo/JC0eWyNSJAPfuOz/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\nHMdpnf8B+SsJKd8y8k8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc17799390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "roi[:200, 0:50] = 0\n",
    "roi[-200:, -50:] = 0\n",
    "\n",
    "show(roi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[111 112  89  62]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = 0\n",
    "for p in loc_M:\n",
    "    i += 1\n",
    "    print(p)\n",
    "    break\n",
    "i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(loc_M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[99, 8, 9, 22, 2, 1, 1, 3, 4, 2]"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = [99,8,9,22,2]\n",
    "b =  [1,1,3,4,2]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import queue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "q = queue.Queue(maxsize= 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-226-d0e404f8e594>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mput\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m19\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m9\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblock\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/home/xlws/anaconda3/lib/python3.5/queue.py\u001b[0m in \u001b[0;36mput\u001b[1;34m(self, item, block, timeout)\u001b[0m\n\u001b[0;32m    131\u001b[0m                 \u001b[1;32melif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    132\u001b[0m                     \u001b[1;32mwhile\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_qsize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmaxsize\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 133\u001b[1;33m                         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnot_full\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    134\u001b[0m                 \u001b[1;32melif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[1;33m<\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    135\u001b[0m                     \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"'timeout' must be a non-negative number\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/xlws/anaconda3/lib/python3.5/threading.py\u001b[0m in \u001b[0;36mwait\u001b[1;34m(self, timeout)\u001b[0m\n\u001b[0;32m    291\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m    \u001b[1;31m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    292\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 293\u001b[1;33m                 \u001b[0mwaiter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    294\u001b[0m                 \u001b[0mgotit\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    295\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "q.put((19,9,3), block=)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 9, 3)"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "records = []\n",
    "for _ in range(21):\n",
    "    if q."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/xlws/anaconda3/lib/python3.5/site-packages/skimage/io/_plugins/matplotlib_plugin.py:77: UserWarning: Float image out of standard range; displaying image with stretched contrast.\n",
      "  warn(\"Float image out of standard range; displaying \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1cfdfe10>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nZFLyX+MMLjtJn8V9vUr2ZT+Rprryt8TJztxH0lpyn0mYrBYiS9tFHiYL60+h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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1d5b23c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# place pre_M_resized on a padded img size convas\n",
    "pad = 10\n",
    "assert pad % 2 == 0\n",
    "convas_shape = [i+10 for i in img.shape[:2]]\n",
    "convas = np.zeros(shape=convas_shape)\n",
    "\n",
    "tlx, tly, w, h = gt\n",
    "p_tlx = tlx + int(0.5*pad)\n",
    "p_tly = tly + int(0.5*pad)\n",
    "\n",
    "cx = p_tlx + int(0.5*w)\n",
    "cy = p_tly + int(0.5*h)\n",
    "half_roi = int(0.5 * roi_size)\n",
    "convas[cy-half_roi:cy+half_roi, cx-half_roi:cx+half_roi] = pre_M_resized\n",
    "show(convas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1cf258d0>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KFwWalyEufE365PsIrMSj1oqL0G1/r3EYj/XLyeqncxkSS5Z24p63zpdpWFHS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\nB5ycAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1d0a7ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(roi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1ce853c8>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dcuyMnDKpoHNYOnEpuqG6gMB1/05RrbyfJI5qxfeMiz26wNYGWjZrFJeKJUqd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VQqFdFgGbjh+6P84/QmabVaEk6tB+atW7fgeZ7srM46kb7RpnStVpP85sAojQHbRD8ntX1uymx7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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1cef9be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1d055668>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wLjl0Rk45qqCzXzpxKbqhuoDAdf9OUa28nySOasX3jIs9usDWBlo2axSXiiVK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\niIiIKDgikUdEREQUHP8DD9qBrNwaa00AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1d087278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img1 = np.copy(img)\n",
    "tlx, tly, w, h = gt\n",
    "img1[tly, tlx:tlx+w, :] = 0\n",
    "\n",
    "show(img1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fcc1d384e48>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KFwWalyEufE365PsIrMSj1oqL0G1/r3EYj/XLyeqncxkSS5Z24p63zpdpWFHS\nPetcafFBYG5NXVmJ57Z/oBehqxy7+lz4zOlJfblov+6CtJO2GON2+KRn9flF29ZrPqaYtc400Jp/\nM7+QWtdsH3zjUlVrpRlPTldD/DD0ILlFd8q7wEByWo7iAkFJaYzHSoQ+yiWeS6akyb6O8WrIBBmP\nSjwaCrBsXy9DHVtlSlO1SEngrY+SJI1FrmeVtuL+z6JqZSEfbuhrx0e5xHMHSRmPurYr5RLN9dJ1\ngMKrQlm+rRtlPK/Dx7+MTn/RWCc+bzEe3ouTdnJg+TxZSUZ/fHO4qBSzSB8uU9JJqk89ry1AndS2\nGjWSgmiBXOK5c6QvW61aaceN5JSTpWVVsbiQD6U89WlOOeV07ZRLPJdMWXeIq1JJrHhM86h6k8aJ\n4mkq3uugGgPJZucsgPKi79anzsXdT4ojy2rKTwN/s4LPcf3U6PY4yjGeS6abxjh8Ord1aU8iX56Y\ntPJ3mXxzkXTtKt//dbk5+BhKHCboo5UHl19Xumppx+6gNmTC9iP321mcOGeL4iBXAd5nkVwuSotu\nRmllcj+eS6bLfskk327re0YlFp77xDPTaeFifh4Sz9Na5MzzpL6q9cxHav3gwvVlNFQXAN/Berro\n1U3/ou9A67EZCPUaj++dTCao1+sA4M4uW9a6ldT/rN/AIpT1W8uixi2ykeUSzx0jfeF6koHq35qL\nB0j+2C/rY07qp/ZB88bYDz+J8WT52Jfpl16zWNhsNnPHBVWrVQDRs+vvKsVhX4t8KznjuWOknsu+\nvMGURJKA0zSxOmmBs25bxka/W+nEfrhZfGRUUvJJKHH9zgKYxtWn8xsEgUumZY8mpoQZ1/fLpsuU\ntJfJLpmGhVnKGc8dJPVcVsnmqkkjl5MWne8j9Tk2ZlkANvfQdZKmjcgxssUoZzx3jKzEwx3ZHkUC\nJHu4xllwfBKArYPP+455USKupGXjVCdf2+oda+tI2m2zeGj7GKdVKXy5aBZRO+LwsUVxoDQQ2d6P\nk1R85bOOR+c0y9hzB8Kccsrp2imXeO4Y6W7DWK1lwL8s9cfdzwL0allf/b57PmnLqmrXgaXoDwF8\nPS4mp3TKzemXTJcxposGiZJsrJY9E9yCiVnNp2nt+xhdHJNRENaCxSS1IvkwoCx+I1kpiYFxDJpv\n2DIe/l4GWE7bHLKqZknM3P721XlZc5mDy68J+bAc7sr8yWq5iqs/6zUr+fg+cj2F0oeV2MUbBz4v\nCkgvS5YhWEakAAAgAElEQVSp+phsFokwa18XtTL52tD/szKeRduy9eaey68hxS3wtPSnWeu+SD/S\nyiapVz4VzveBJ1mYFmEKF12Uy4LLvuu+/7NuAstQVlU5ru0s/cgZzx0hn7qkRxiT8aifiX3WPr8s\nsQ6rGqmVS89w5zM2tEOtVEmpFuKkpLhyaffTFrZKWnQYpNtCsVg8dwLpIv1JU4F9/YuTaNLup40z\naUOwtKhVK2c8d4z0pSu47FsMy4rySmlhET61i2Z0y3gsQ1TGY+/xPu/52rHj9FHaIk0at/6wr4VC\nIQeYM1AOLt9BsqlPs2IuSapO3N9pIQaKLdnntS3LGH14jr3mO+8JSD7PyZZNKmNxpThJI6sFb1Fa\nVLWNu7aIxHNdjpC5xHPHyDoQauzTZdVvzdhKhULBnUJJa48FtovFYsQSBMytQaVSyf32YS5JDozW\nWucrcxmkC9d30mZO6ZQ7EOaUU07XTrnEc8l0kR3vMvx3iJ3wbz2KNqkdCyLGOetZiccm9S6Xy6jV\nau4sL0ohTB9B0jQcs9kMo9EIQRCg1WoBAKrVqtcB0qbvWFbNSXpPcRgR+6BAt7UY+lJiLGpNW3Qc\nPslwFSipHznjuWOki0AZD1Uf4j60vvAZwG+6thYvXmccmD5XKBRQrVbRaDQwm81QKpVQLpfdz3g8\nBnCmVlFFoRo2Ho8RBIEro6At+09nPbZXq9VQq9VQqVRcfXwmDcdQBsJrvqN3fbiTZYSlUsnNIft/\n2ykr89L5XYThrRy4fF3gVhzd5G5hP/K4e74yXBDEVHhNvZcpcXCxsE5KGzaSPQgCh7kAiNRdLBZd\nHexHuVxGvV5Hs9lEEASo1+sYjUaRH+BscY5GI5fLZjweR3AptkVmRJP1eDxGt9t1/dnY2ECxWHSM\nbjKZnDtahQxLJTn1hFZJUQ9AtMyFZcgEeY8ZAHQuWc9lURYjQBJldVS0descxLWXdj+OcolnRSmL\nxcRnKVIGUqlUAACDwQDT6TQipehuz6x59EchUymXy66O6XSKbreL8Xjsni2VSu6H/zebTTQaDWdW\ntj8AHLBM9UslIC7yk5MTPHnyBIPBICK5TSYTNwZmWGQZjp2HGOoc2cVBpmqtYVbKU1KJx/d/2vuK\nI7vwszCKRSxqi/ZD5+yqKGc8d4y4cwNzxjMcDh1T4aJUKaBcLkckjFKphEqlgmq16jLrjUYj9Pt9\nAHPnvkqlgkaj4dqhlFOpVCJmfEs21on/q5pI6a3T6TiGUi6XnaoInDFD9qtcLsda2nwqo0qD7NN0\nOnVtceH5GJEP39JrF6Uk6SLp2qLm95vEg3LGs+KUtrPZD0/BZWv2VinEF3CpksVoNIqoVlSPgDmA\n3Gg00Gq1HKPjwiVT0YVrFzrLqzla48wajQbW1tZcHeoLZP2ExuOxGzvbZ7/DMIzkJaKExbGqGkVA\n3OYRsmQlHZ/kmfSe0iiN8cQxjDSsZRksJoniQHR9P3GUM547Qj4GxWvqz2P9ZwBEVKcwDDEcDtHv\n9xGGoUtiTjWHADJ/KpWKYzwEfi1Ts/3Sa3EfaaVSwfb2tgOlB4MBhsOhqx+YSzwKdk+nU+dHxLFT\nHVQLGxnTMhJKEpO5CgkiK0O5TZQznltCi+j0XHTD4RBhGDrmwEU3mUxQLpddeVq7isUier0e2u02\njo+PMZ1OsbGxAQCo1+sOPKZ6ZVUbBaJ92IriSlbV4o9ate7du4dyuYzDw0MMh0NXh5quJ5OJA3TL\n5bJTk9inarWKWq3mmA8TtBNXsvFjau2KA3WtJKekjNG+O1+dvvp917PcT6o3ri1f3+LA5qyUpXzO\neO4Y2YUTd9SKVX3ImPr9Po6Pj3FycuIwG+BsARP/IdNi3WqRijtFMotlRhdypVLB2toajo+PcXBw\ngG6369QmGzxK5tpoNM4xg+l0ikaj4ZgPcSLrcZzUV9vnqwB2XzfKPZdzyimna6dc4llBSjLP+qQE\n/iZ4qg6EYRhiNBq5Q/toFVIfnXq9jslkgm63i06ng9PTU4xGI+ecB5xJIJQ2fKAucAY6JyUcs6SJ\n3ilJEBgnUH16eooPP/wQk8kEzWYTrVbL9Ynm9PF47CQzTW7PehqNhpOGaLGzkplP9bD4U9IBg8tY\nnLJIgbaczzUgqyoU907Srie1kaSyJVHOeO4YqYWF6hEtVIVCAbVazS1YLvK1tTW02210u10H4Far\nVWcaZ739fh/FYhG1Ws1Zz9SkTNA2LWjSMkstq+EeHMtgMMB4PEapVHIqk47XugFoaoogCNDtdh1G\nBcwBZwtuK34TN7e+hWbL5JROOeNZcUrDE3y7lOIk6iRH35sgCNDv9125RqOBdruNTqeDyWTi4qTq\n9bpjBKPRCN1uF0EQYH19HcVi0ZWjJDAYDM6BymmMh322jEoBa0ozdrzqOjAajdDpdNBsNlGtVl2f\nxuOxA8zpC0QpTU3i6q2c5ERIaco62CUx2jhpIEnCuAilMcU0sHrZdhYZT854bgktC2jW63Vsb2+j\nXq+7RUNrEi1Ig8EA/X4f/X7fxVhR4uj1eq7M6empY2QEaoNgHl/V6/WcVJWmIupHr348rIsm9Ol0\ninv37uH09DRizVKiVKfWLW2foRYEoSnxaIgIVT5fZsYka4+vTJIfTxrj8bkYpPnFZPGb8fUnTkXy\njXMRylWt15B0Jx6Px2g0Gnj06BHW19cRhqHDRCaTCQaDAQDg+PgY7XYbo9HImZjJBMgIut0uTk5O\nnHldI8v1hAVKQHFexEr8qKkWjUYjnJ6eAjgLmTg8PMTp6SnW1tYwnU6dbxH7xL/pzzOdTjEcDs+p\nVWEYYjAYOMZUqVRQr9dRrVad2pbFYzlNFbsIvW4qWs54VpD0w18EOLTBn91uF9VqFe+88w52d3ed\nBEMGwxCI4XCIdruNMAydXwzbp1RAhgXM8wpzsXMhUqryHfFiHfUo4SgQrEGgT548wfe+9z3MZjOs\nr69jOBxiOBxGxkdmQkZaKBQcnkX1rF6vO69k1l2pVJyXcqPRcNeU4cY5N6YBwMtIpotIMr769Vqa\nqncVtIxUlDOeFSKN97HH1MSpLvaeArtBcJbfho54vV7PMRAFYIfDoWNGlHIIHJOJ6P1+v+/UKaa8\nYL+BuQez9s3nVKfOg1TtyAz39vbw4Ycfolgs4u2333Z1aLApvZk1WpyxWwTFOQ4C6hyDqp0AnASk\n/bPSjXpDx43Lvh+ty3fd9z4XpcvEhrK0fxkY0cqlxVimjNJVOXVl7UcWF/o4l3tKF6VSyTEDSh1c\nFJQ6uPg0aJIqBdvc3t5Gv9/H6ekput2uk1D4HMsxjEIjxmn10VQWQRCg1+vhxYsXru92YbK/mp5C\npRs+RxWNoC4tZWR0nU4Hh4eHKJVKuHfvngONVTUrFAoRnGkymTjpjf1mWIcyi/F4jHa7jX6/76Qg\nmtxZnv2jJAScMV9iWGTclkHFmbuzMh6OS0nxmCxYURw2FfcNK3amjqW+dn19iqOktZg7EOaUU07X\nTrmqtULE3cMXiW3jh6wqw+tqYqZUQ6sVy1KC0rrpeGj9aCiBhGHoYrlevnyJZrOJ9fV1jEajSJ+o\nJipGpVIKy+mOSZVnMpk4Vavb7aLX66FSqWA0GqFarbr0HYzbYixauVyOSFgaBDoej1GpVCLBrKqu\n0WrHBGaNRsMlMqM/k8206PP9ueyk+svQVQHflpLOOMtKqYwnCILfBPAPALwIw/Abr65tAfg3AL4M\n4BMAPx2G4cmre78C4FsAJgD+aRiGf7RIh24a3Y8zTWb1o0m7znu++rjIiXkQp7DBk0A04pxqjKpk\nAJyadXJy4nxwgiBApVJxicEARJgC/XyYB5njYHuDwQD7+/u4f/++C7hkmXq9jiAIzsVqkbnowqVK\nxnvEjqj6qE+QqmWMnAfm5ntg7qPk889h8jK2p17XWlev10Oz2XSWsXq9jlKp5OaUzFnTf7DtNC/m\nZcmqM4sYHGw9i5a9KFCdVDaLxPNtAP8KwG/JtV8G8CdhGP7zIAh+CcCvAPjlIAj+MwA/DeCHATwG\n8CdBEHwtXKC3WRe8jy6T21/Vh8T6knw9iC3QNE3Jg0wDiJ4Sqouq3++j3W4DODOTd7vdcylLVdJg\ne/T89en3bK9cLruFz0BSWoVYt3ocW8ucnUddsMSXNNyDAZ3AXAq0KVRpYdO6FDRmyldGp5PxEO/S\nbIacJ83GqBHsCvqrtJnlW1mGYdz0JnyVlMp4wjD890EQfNlc/ikAf+/V3/8awJ/hjBn9NwB+LwzD\nCYBPgiD4EMBPAPiLmLozXbPkW7TLOFFlrXsR8oFwWcr5rlmVRIE/XQSz2czFSR0eHuLg4AAAcHBw\ngH6/7xYx1ZJKpeL+Z7us2wLBvv6MRiMcHR3h5cuXePDggWMOg8Egkn6CDME3TrtoueBpIWOSMV+y\nd5XQ4oBXVRE5VyoFKZMhFQoFDIdDp65WKpWI2qbPk8n6gNw0MDeN0iSOJFDXBzrH1ZcGDl8lLYvx\n3A/D8AUAhGH4PAiC+6+uvwngP0i5Z6+uLUTLMp+sz16k7UXvJy1gS1ykVHc0HzETXemHrpkES6US\nxuMxnj9/7qxOg8EAs9kMrVbLhREwbIAxW9onWocYF6VxWBp8Wi6XcXJygi+++AIbGxtYX18HgAij\nUUnMZ/0iUZKhZEEHxd3dXezu7rrcQepqoLmEWLc9G57MQvtA6caqLqxXk72PRiMMBgP0er1zUhef\n0/zV1jJkv4G0Dc0nNV1kE0srE8ew435fNoO6LHB5qV59+9vfdn+///77+NEf/dGLdeISJueijOci\npHltuCtrdkDu/NoXTeE5mUxweHiI/f19APOE5s1m0znacYHp8TasK3wFzNJsrIuBqgjrJBbz5ptv\nYnNzEwAiycGUMVqmqcyGkgzHQtVtY2MDm5ubTmJTlU/BXpVCiHNpeVUrVXKhBKSMR59lyEa/33cY\nj+JqqkYq41HGpHSX1Saljz76CB999FFquWUZz4sgCB6EYfgiCII3ALx8df0ZgLek3ONX17z0sz/7\ns5H/rVrBa4A/YTev22evkq5DT6ePiPWLAeYAtDIQ9S5WD2NKCpoeQ9UO1qVtEWvRVKGsu9vtughx\n4iz7+/tYW1sDANy/f99JSqyHbVvpyabPsF7MAJxFS9UsnxqouIydd2U89FZWq5YC9OqISOuZnU+e\nyMG67Th8732RbyDpuawqXJoEs2j5RdbVu+++i6985Svu/z/+4z/2lsvKeIJXP6Q/BPCzAP4ZgH8E\n4N/K9d8JguBf4kzF+iqAv8zYxkpQFuwl6V4Ws2qc6K2LEJiL8z4zsN4Lw9BZhLi4WB8XHI+BoaSj\ndZGJsJyGRqgKQQxH1ZHPP//c9Y9OeGzDt5GwX3rOF6+Nx2OcnJwAAE5PTx3YTJyFjEfxG7tIVEok\nKaNQ72cyb61LGSA9nlk38Svr+Zw1Ni0L3aTEfZ2UxZz+uwB+EsBOEASfAfhVAP8rgP8rCIJvAfgU\nZ5YshGH4t0EQ/D6AvwUwBvCPw7syUznllNOlURar1s/E3Pr7MeV/DcCvXaRTMfXG6s++MpfddtZ7\nFlxcBFzWYMkgCJw5maCvzwpDXxpas9RErH42nU7HnT9Faw0lh+Fw6OqmxMCATOIblOQoDVUqFYRh\niCdPnjhfmI2NDbRaLTSbTVdWsRPtt3WOZNDqs2dnmvnTp0+d1KO5nDViXk3vlEZUFQXmUpuVUPge\n7DtRtdNaw9gG1T9gLmFRcrLPWFoGCPZdz/JNpoHUvvWSZQ3FfdNpZZRuvefyXRKoVK2hyVtNyWEY\nRtI4qE/N/v4+Dg4OnCULmGMfDJCkPwtVKvWHISPShcmYJdZl/XJms5lLsgXAxYMpI9B0q0q8zrEN\nh0Ocnp7i+fPnAICXL186J0KWYyoP9lsZjzpb2nnSdK3qbGkZooLdfM7OUxiGLkuj/uS0GK1kkGja\ni1xEAlmUFv2IsphB7f24enRBE8OhSZ2SjHrRttttPH/+HM+fP8fJyQl6vV5EIiAuohYpAsgnJyeR\nk0FZzp4wqiCstfzMZjMXamDHoOC3zyLH67QeMSiUFrnj4+OI3xL7yDPXOU8KXCvO4tv11ZKlJ06Q\n1NrGMfR6PWfBq9VqKJfLLt2IBp9aI0fW955Ei35Hy64LnaNFvueLUC7xXDHFgdVJDI4LTtM5AGeR\n1lzknU4HJycn+Oyzz/DJJ5844Jg7PzAPFyBIy8XPsAfGKWkCLI0TIzMC4BJotVot1Ot1l9Hvrbfe\nwltvnRky33jjDdTr9cgCVylJfWs4RgLV7XYbR0dHjhnyYD4rUVh/IDWRUz3ViHINoVBVnfNr54p+\nQgTPe72eA7zJrNjH9fX1iNTGPqW932Xpur7162jn1jOe66AkC1Rauayk9akTHv1quDvXajUAQLvd\ndk58T548QbFYRLPZjJjXreoAzJNtHR0duZ2cmfgUn9A+AGdq1/r6OgqFs5NET09PEQQB3n77bbz3\n3nsAzjCeer1+LuG79oN1qrl+NBqh3W5H0psqvqXz4ouLUswmCKKBncpUfaTq7Xg8doyLDJEpX1l/\nrVZDGJ4lEKMESCbNepLaS6PLwil9Fj/f/azS2WUzo1vPeG5Kv75ou77nVVxXbKFWq7kPnNco8QwG\nAxQKBRctzgBQYG5+J6YBnAVDqqkamGM8ZDjWCRCIMkMm4KIERs/larXqmJe2bSPdFeylqtVut9Hr\n9Vw/G42Gy0vU7XZddLmqbHQdoG+NBqzqsTwEhOlEqaTmdPaN2QxZByXOvb09rK+v4+HDhxFpR4Np\n1V9JKevCTVPHWSapDXs/i1HGltNcSnHtWV+7LGMg3XrGs+q0LIMirkOQmcGdVI9OT0/RbrcxnU5R\nrVbdaZkaLqC4Bv+nP4/2TRkFJSbFOViWOzsXOAFkTaWhmIzPf4ZjY7vEbAh+E8Oi1DEYDNDtdjGb\nzVCtViOxWuqLQ8mQEker1XJtax/IrHTsOk72iVITnTmBs2h/Sp08p4vz5sOX0ugqVJokRpHlWase\nL/LsIpQznhUidd/X8AICzdzVgTNVi4yHeWp6vV4EEOYHqE53wNz13zJFGyRaLBbdAtZTKvh/o9Fw\nUguv0aHRtwuq+Z7BmJoDulgsupAJqpnM0TMYDFyuZB2LtS5xrGTQOncqmfhCUjRNhzpo6s5OxqeJ\n7SnlsUzcu01jCPZ+1k3rshidDyRfpu4s/b757EU55ZTTa0e5xLOCxJ2HO6q65av1RM3TtMLwnpbR\nnZ2Yi6pFrFt3PKoxevbUcDhErVZDtVrFxsYGtre3I2doaQiHkg9zsP5CrVYLOzs7EUfFTqeD4+Nj\nAIicJmr7bXfn6XTqLE+UpPi3jjsu2pySzWg0ioD1PrDcWt3YRk7JlDOeFSZdDAQ8+T+B3aOjI+ej\nUywWI7FFCuCq3m7NybpYqG4Qx1Ev4dns7KiZ9fV1PHr0CA8ePMDOzo6ztCkWpWNgm9axkX0mQyVg\nC5wxmoODA3c6qALJTIvBAwiJs1D9Yf85b2QexKRsfJbOtSZKGwwGzueHpGpqVrDX/p10bZH7ceUt\nRpPUP/uulsGocnD5lhNfmJ5LpUf06nG+a2tr2NjYwPPnz11eYeI7amEBogtdwVTrH6OLiQucTKVU\nKmE6nWJjYwMPHz7EO++84/x2tIzu9gri2uvK7AiME/QGzhgPcwaNx2PnlU1zNueE1jlKNmRkPjO5\nSmbKENk/+kEFQeBAeHqRA/MTK1RitJLnTVlZV4HSrGdKK+m5/LqSLhYuBOuTw0XQarWwtrbmTMnl\nchn1et0daAfAAcRqFicp4yHD0RQWa2traLVa2N7eBgAnZbz11lt455138Pbbb+PevXsRwFklATXN\nq7Mg27Mq39ramrNMAWeMh2B1o9HA/v6+86fh7+Pj40gkPdU+7ZMyBqqB6n+jzIhJ0jinvV7PSVUA\n3BE7pHK5HLGk6diUFpF8kszWWibtmaTySdf12iIAs096Snoul3hWkHwfFZkCpYJOpxM5E0pju8gk\naMmhv4ndmXWxkMjcHj16hDfffBMPHjwAME/k/ujRI7z11lvY3NxEtVqNpNew5ljr56HShap8GjfF\nPlK6qNVq2NzcxOHhIY6OjtDr9fDFF18AAJ49exaRdvQ8LDufVMU0qFMtVuoGwL5SyiPxNIt+v4/R\naIS1tbUIBmbfmXV0vCyKYzy2vSwqUBKjzMLQ4tTNNKknZzwrSLpw+eHTZE73/RcvXuDFixdO/aHz\nHtUeYA448yA8exSNLjo1oa+treGdd97BD/3QD+HRo0cA4I58YWZAXZRxILWqPEB0gShQq3XwOhlJ\ns9l0QPbh4SGOj48dY1lbW3PMiPVqHfYamaTFl7RP6mDICHwyckpCJycnaDabDgxf1mnwsszgttx1\nqntZ8C0f5YxnhUjji/hDkLTZbGI6neLly7Nkj9///vfx4YcfYmNjAw8ePHBgsJ4fNRqNnBWK2I/i\nR77UERsbG3j8+DG+9rWv4b333sO9e/cAIAIg0xN4PB67cAvgfBZBy3x0YahnLJ8Lw9CpMioR0SGQ\n0hwtVo8fP0a/38eLFy8wGo1wenrqpCe1RPlUB1W3SGQ8TAlCKVJTXgyHQ3Q6HTQaDTx8+PBcOg4f\no1W6KOCcRGnPxqlsVsKJ++2rR+tYpO8541kh0t3XpjqlWsAUFPv7+9jb20Oj0XDxUdb868MtVHVQ\nj2Pu9Ds7O3j33Xfx9ttv49GjR86BUE+l0FMa9GBAMhkbJAqcl0IUi1FmQAyLEgrrKxQKzolxd3cX\nAPClL33JqT37+/vuzHSqhTpO7Y/GfNlFxBQdjERXRh6GZ5ke+/0+Op0OBoOBC+1QXO11BpizUs54\nVpB0sVrLExcB8QYuFGAuuZCJaFS6WnxYryZNpwTy4MEDfO1rX8ODBw9Qq9XcDq5nsivu5Ivt0mRc\nvt3QgtokBqCyrn6/7zyYSaVSyeV4/tKXvuQkFFq+2AfbBueOHsq+YFP9nz5DigPp2VvD4dCddKrW\nPHVdUMoK0GahNHA5TWJJq9e3WWR5bhGJJ/d0yimnnK6dcolnhUhVGe46mlwdgDt36v79+w5/OT4+\ndpYte244pQUFQanWKHZBgHlzczMSfa0OhBaYpgpDCYft0es5zqrjs4RQErMqizpNsizB3p2dHQwG\nA5ycnDipr9frRdRJxbHoRGhj0li3+vIwfYi2TydGPbW12WyeS9+RUzrlfjwrRNaPh5gHPZKDIHDm\nbZ4q8ezZM+zt7eGtt95CvV7H8fGxs/JoVkFtw6pa6rHLEzxt6IMFhvmjeaAZYR6GYSTfDtUfO05l\nPGQGBI6DIHAmdZrJORbWVavVsLW1hYcPH7ro9c8++wz7+/uuDT3MT1VDjVRnX5gErFqt4uTkBO12\nO8J4CG7X63V3nLM13aepWcsAzllVnziVy9aj93zg8iK07BrOJZ4VIutXox8EpQhal2hibrfb6HQ6\nbkFpPh768RCQBuBM68qQVCpgygeC1QR7yfxsX5UUc6J0oZn81EeHTEXHaedAx6+xUSoBMUEZw0Ze\nvnzprHnst03XwfrtGFTq4lyrZZFgOh0baW7XMJU403pWSnO8uwilmduz+h35GJXFItPoRhlPLp5G\nyTrYcRFwh7aWmlqthu3tbdTrdZefmVYWYO7Hc3x87FJO8Djj09NT5yVMpsWcznoKBVOtAnNVwzJG\nTSjGRGMEc5nI6/j4OOIBvLW1he3t7XOhDBoXpcGYGotFVYuAd61Ww8bGhjvumOUAOObB/qrEpw6L\n/J/BoZVKxaX94Dx1u12Mx2Osr6+jXC67jI+8z3p8koZv0acxgiSQeBHJKImJ+NpeVLKyG2YWyiWe\nFaW4l6kvXX1RuEC5eIAzvIPxRgwq3dnZcQfxWdWOljIyDVV9uHh9GAkjyD/88EMcHh46tbBYLDqV\nUBlPq9XC/fv38fjxY+zu7rrQDzXra+J1NdEr4yOjYnAq29RAUjI2q1KwbsWU9J66NOhvG3Dqi9fy\nmdSzSjLXAT+sgsk/ZzwrTD4/E8VHbKQ0mQ9Vg06n4xJu1Wo1rK+v4969exgMBhG/HAAuAJUmeaps\nynjoHc32iSExhOEv//Ivsbe351SRIAjQ7/fR6/XQ6XScakcsijFm9IoGEHEFsOPm+NhvdfID5j5P\n6vSn6VJ17jRSXn/7PJopPZGh0SRvHSGB9LQYaSrMdeGeagK3EtV1MKUcXDZ00Um/rDHZaG7dpXmf\nznK6GHn2FHAGQFP6qFarWFtbw+7ursthrG3V63VnyZpMJi5K2zInqh5kSqenp/j4448BAH/913+N\no6MjPHz40PnjMNtgv9+PeE1TLdzZ2cG9e/ccBqSMQBcCQWxr8aOTHxmm+hFxbGTOyhys6mqlKD3G\nx1rGlNmrMyTrtniSvsek/+Posuqxz8QxHmDxA/oWLZtLPCtMPpBZd/tGo+HwBUog/X7/3MIkDlKv\n113oQb1ed8yHakOtVnMqlo2h4uIiUByGZ/mfnz9/jk8++QQA8Nlnn6HT6bjgTjIY4kWqRp2cnDic\nKQxDZyHSMdtEZ2Q+ygjUTcB3Nhj77gOT7fhYpzpa+qSQuOtJtIqbrKXrlHhyB8Kccsrp2imXeAzd\n5M5kRV5fNj/uRuVyGa1WC2E4P96F54xT1aCVZzAYuGBOOsgx3w4Qzc1DAFWj1dn2YDBwmE25XHb4\nDo8dplmZapOqJIoP6RHAlI5oTbISj4LATGnBPlH1o7uB+hHZwFQldUy0u7tKUKreAXOpS6UvKyX4\nQOQ0a1Ta/UXrSbOS8e8kVSvuuWXu+yhnPLeUqGqp7w4zEdKHZX19HS9evMD+/n7kHPZisYitrS10\nOh0AcAmvePa5WpJIenwwz2CfzWbodDquHn6AeionAGcxsx7Lqs6RuVjGwx89212DW3miBPsRhqHD\nfEjq5EjGy+NryKQ1INWqWT7sQ/undNPWottCOeMxdFGJ5yIfnu6a1veEpIuVPipMeTqdTrG2thZh\nAAw8GUgAACAASURBVJVKxYHNDKgsl8vY3d11158/f47j42MMBgMcHx+j3++7o4hpIeMRMwDOeTVr\n/1WSUC9j9VxWSYJZB/WoZY5bGRQZD7EczsVgMMDh4SEODg5wcnKCIAiwtrYWyRSo2FC5XEaj0UCz\n2XRJvTg+SlzFYjHyjEpYtGr5HBL1dxYAOG4O4ySQrJKRzp+WTZNo0splbTsL5YxnBUlVKn5AmmwL\niOYIpscwy9GUHAQBDg8PEQSBsywNh0NUKhVsb287RtJut1EqldDr9bC/v49nz57h/v37KJfLLs1o\nr9dzqhxVu06n44BqAE4CUz8fDUuw+YbCMHRHBI9Go0iaURLrUSZGGg6HaLfb2Nvbw97enmM8rVbr\n3IkRDHdgOleC7ByfZW78Wz2s6QtFYP4qpJvbAEJfBuXm9Eumi4zJ5zRIxsNrNp+OShjcrdVaRS/k\nfr+PYrGIwWCAtbU1rK+vO8ZzeHiI9fV1hGGIo6MjfPzxx24B0zlQpYHJZILT01MXqsHA1c3NzQhG\nFDcGhkwUCgUnZRGj0eeogimeot7Gw+EQh4eHePnypTuRgtY5ltHYsWazie3tbTx48MBJhjanNV0Q\nmP6CqiwwT7BP7+84s7mOO+laViloGXN6FuxmEcrN6VdMN6lqWdKPxyYGU09e3qeYrh7JXLij0QiD\nwSByFhSxoJ2dHQBnUk2hUMDz589RLpddGAIwdzCk9ERz+Gw2cyD17u4ugiBwJnIFx4mrAHBSx9ra\nmgOtKQFpNDyZHHEn9oN/t9ttl4u52+26U1UtaBwEgfPafvDgAd544w00m82ILw9VVwaH0gucx0MD\nZ5iZMh6d72UYStL7jrufpb6soDEpLeQhB5dfI7Ifj573BMyZipUmbJZB9dC1jobc7be2trC1tYUw\nDPH8+XOcnJzg6dOnLrcwyzAokln4ut1u5Aic7e1thGGIdrvtJA32hWA4cCYZbW5uurppdSP4zf7S\nWVEDTGu1mquz3W67M+SZfZFMVROmFYtFbG5u4sGDB3jw4AHu37+ParV6LlC21Wo56YZqIvEg4Ezi\nWVtbQ6PRiID1Vj28aboNmkTOeFaUlPFQffGJ2FrGF2LBXZtYEOvRvDWtVgv37t3DxsYGPvzwQ3zv\ne9/DF198gZcvX+Ltt98GcMYsyGD0HC9gnkJ1Y2MDpVIJm5ubDixmdkAC3cCZqsWFy0BPxmvZMY7H\n44ikRjwLgDPvEyAm82IUOTA/4313dxdvvPEG7t+/j62tLQcsc0xhGGJ9fd0FfU6nU8cQWUbxHap8\nlHjU7YD16Xvw/Z10bRmKA4ktAL5ofcveT6LcgTCnnHK6dsolnhUkixnwGhCN4fKRxTZohbISES1U\nAFzw6NbWFo6Pj/Hs2TM8e/YsYkLXlBi6g2oIA1UQqik8jZPnnlNCYmhGEATO6ZApOZSI7wwGg0ho\nhapadEZkAi/gTAKjpa3VamFrawu7u7vY2tqKHP9DKxf/pmWLhxgywyDLqLTji/O6S3TV6trKWbXi\nBpz2ci/r5d/kR+RLrcCPXHPn2DL2KBeNO1LLEAFc1qvgcrVaRb/fd1aq3d3diHmbmM5sNsPp6SkG\ng0Ek6BOYR4ID86RZPIZYGZQePshrNNcTBwLOVKnhcIjRaIROp+N8bdQzezqdOtCbOYoYHQ+cqUfK\ndIbDIQ4ODtBsNt1hgRzf4eEhisWimw8emUyMh35TnGffGexx/jNJ33raN7eIVcvXVlzApy2rOCH/\n98W4xY3HZ42No1ziWUHyfQw2W2DSsz5rhp72SSmIjIfSgR7Zy8WsZ3TR2kMwF5jjO2xDzfq0Glnz\nuoYkkBGSMWo/e72e6xMlJzW5M0KfEl2xWESz2XQJuoAzKWx9fR2NRsM5BvI8MDWVa3ZDpungHFGS\n0vPDrCUoKUTjdaOVN6fr7pylLMn3zF164b7xpZk6fVHdurAZ66Rqjaom4/EY7XbbmZMBRMqEYYhO\npxOxMul5XQAix+zYmCVVH5UJKWMls2EZgtNkNlShNCmZehPTV0ezMNbrdTSbTddPzoePYZDxkOEy\ntk1DNBTQ1/AKW08cLSLlZzWtx927KgfHONA6q/keuEWMZ5E6bytdZC70I7Bez2EYOl8YYiTMYwPA\nWXg6nQ56vZ7z2KXqwjKq+qiFTP2GtM20xaG5dWzQpToOMtSB6pmayvW0TzpMqiVKvYzVJ8m3eJQ5\n8W9NKqbmc8tYtb67iPlcNt24qpWmv5Ks/ngXKctOlTZ2BT7t7kSwdjqdOkmB93g0L8FamuC1DJmX\n1qmJt9ieBlxa3Inj0x+VQnQOiFHpM2QwwDwjoGYFBBABqslACXhbjEylLwXGNc2peihbSScO/7Ax\nV1m/2WWlnKTyPhN/UvlFn1uGbg3jyUp3bbdJYkZZ5oo4SKvVclHl9FpW/KbX6znwmFKDRnkTCCY+\nZFNEsC0uTGVQPiuQPc1TAU0+o2NgWRu0qWdlab5pxWCs9KR5qpVpMsqfUqGV3DRa/iLpTRelrGsk\nDcS+KlpGtbtxxpPT5ZIFcYl78LzxVqvlQFMyHgaQMh5L1RfFN8hwmOmQcU0kOgBq6lGVCvS3TUnK\nvylhkUFaJsXnbD0+ax//VslGT7LQNBwcN50dmYLDSo2LSC85xdONYzxZrr1udBHwfDqdRqSUSqXi\nvI6r1Sp2dnbQarXc0S0AnMWIliWGGahEoilB1aqjfWNIheb0UezGp24paWS9SjH6t01aZk2+7KPi\nV2qxIjNlOAZJD+rz9d2+A6sqJr0vHyCrlGY4SKNlVbAsOFxc/5Ke45wklck9l3PKKadrp1SJJwiC\n3wTwDwC8CMPwG6+u/SqAnwfw8lWx/zEMw3/36t6vAPgWgAmAfxqG4R/F1Z1btaJ0GXNBcJdUKBTQ\nbDadL0utVnOqFHd8eg9TSlCJx+bQIUZSrVYjsUp8jvOvmEpc9LYFL7U9SljElOwRxPq8SjwWlNZ2\nrdSmkpumEPGlRCWp06MdT07ZKYuq9W0A/wrAb5nr/yIMw3+hF4Ig+GEAPw3ghwE8BvAnQRB8LUx4\nMzm4PCcFMbOMw1eGAC8Ap/IwnICOcRb3AOCOAlZ1SxeYTeqleX/U6U8DJnVMadZKZWqsXw/OU3VL\nx6p1kOnQUZB9U0anfje07ul46ErAgxC17xab0vs+P55FVZo08jHvLPVdtlUrrVyW8aQynjAM/30Q\nBF/23PKtjJ8C8HthGE4AfBIEwYcAfgLAX6T2JKcILWMp4HMEfOnxa83WBIDVA5gR41yoZDyaUEtP\n9wTm/jCaK4hSjgViLT5CspKUdQ606UZ986GMRw/ws2VUkuFcqIRFhlur1dw5YDoGK2lxLuLGllM8\nXQRc/idBEPz3AP4jgP8hDMMTAG8C+A9S5tmra16KW1y+F5m2Y/qevYuUpAJwITBNxMnJifMmZnoJ\nOtYp4yGTIdOazWaR43lZP609+t70rHNKS8B8UVrwV8egEor+AFFTuapaSlaSUQar34GPsZHpqMTD\n35q2Qxmtbd/nga398lEaKJtGaXXfdXP6/w7gfw7DMAyC4H8B8L8B+Lkl67rTtMxLt450aWX5m0yH\npz4wBzHjrsIwRLVadaePkqrVqku4zsVrLVH0B9LFyPt6xK8yqzjzs8Vm1D9HrVpqhfKFYfjqIall\nj/0iM7HtklTa07gsnas4VdV6Ny9jds+CecZZ0W4bLcV4wjDck3//DwD/76u/nwF4S+49fnXNS7/9\n27/t/v7GN76Bb3zjG7H65EVNjreJkoDYOOIHPxwO0e12AZydnV6r1VyK0SA4cxxsNBou3QXbUMCV\nALUyFUo3XHAEpLUMTdcqFWXV+y3zsAzCMhYlNasrBgXMzfIqTbHflvFQRVXJyKZH5fO+QNG08S37\nrWbFZlaBPv74Y/zgBz9ILZeV8QQQTCcIgjfCMHz+6t//FsDfvPr7DwH8ThAE/xJnKtZXAfxlXKU/\n8zM/c05EXQZok35levY6yefhmoYJKLNZZtfkDs0obGI3is0wXQUAHB8fo1A4Oz9dcSEg6lGseIZd\n6HoNmPvTkBmp5KB10mpl1SkrlaizoSWL22g/9Fmr4imYHQRBxPFRU4lYdVLbYb9pIVTv8GUoCUCO\nY+JpYPKioLIvJETL+NJm8OerX/0qvvrVr7pyf/qnf+ptM4s5/XcB/CSAnSAIPgPwqwD+iyAI3gcw\nA/AJgF941am/DYLg9wH8LYAxgH8cXhI7Tpts6e9lNLc0LQsKL7sj2o9Gd3Ze1x2aH42GQ4xGI7eA\nlGFonzRcgP1NYgQKGmu6CyVVr6hS+RhZnNST1LYyHvsuVLVTxqNzyTlT723fmezsP7E0OnBaT2qW\n99EiDCYNw7no9x+nGtu5oVHB926yfMdZrFo/47n87YTyvwbg11JbzimnnF5burWxWjct2WSliwh8\naWCjFYWDIHDgMXCWMS8MQ3S73UisFf1XaOHa2NhwuW/0ORWr41JeWAmE0oQC0LasSlV6Kidw/tA/\nxVUsJuObW43p0v/1GfZNfZ4ovVh1zc4By6kqqtY8xprZbJJJfbb3bxKzse3bOWcZ3vMZEDgnSd/u\nrWU8OUWJC0Yz5gVB4FKGrq2tYWdnJ6JCUYVoNpvnTgq1x+Hogk1aGAShfXiONWUrzuKLw0ojBYBt\nHxTPUeZlF7nFgqhCWC9ntqOqnDpVKlON89S2f1taJZDYks6Tj9Eo2UwDPrpRxnNbpJbLpotgOUo+\ncJchEcBZ1PmLFy/Q6/Xw9ttv48GDB6hWqyiVSs4hEJiDzYoN6W4GnD/Hy7fTqbSg9eiCBhBZ2Bb8\nteCy+gKxvSRAPillhe2Lz1M6DEPnO6RhIcDcT0mlHYL5atmz7+uijMe+48tiUL53mNZH9kHL2Xp8\nPleWconnmumqdzW7mDqdDp4/f46dnR0EwVnUdqlUcgnB+Iw6zFFM1o9Jc+/4GA5/WwnDF9FuHfp8\nUeZaN/tkVTZdAGQCZB52UbC8BZZ1rrQfjUYDrVYL4/HYWaw0ERrb1vO+7irZ+UwrQ3XUZ1Ag3VrG\ncxulpaz6e5x04ytnMR7u2ADc6QgnJyfo9XpuYap5GIj6wdA/R1NDAFHGY/tgY5pUauGCtnmCfJYv\nn/WEbeu9JMZDJmfrsaEZ6pyofeL1VqvlHDLpF8VDEBmPZiWfuHeXRpepisVtCEpJ1rU4vClOuvFR\nksWTtDKM5zLFx4vQZTO0LOJz3D3fYkuqJwzPYrAIcPLkzM8++wxBELgwiSAIIkGgdAi0WQWV0dis\ngnGMUJmVxVBsXxULSNtJtYwNDtW++dqxO7EyHRsIS+mPx+zoWe3Hx8duTlSyTAvqjXuPPoaQdXO6\nCC1Sv2U0VroFopgaMA8ottiP0sokAltkMnwf6mUxjKt+6cvq6FmkIC5ASjQPHjzAw4cPsbOz4yxV\n6sdDBjGZTBZiPElzrRaNuKBOG1Kh4/FZoPi3xRYs49F79rdVs3zWLmudajQaCILAWfuCIIhYBdUH\nSOtZlFZJercqb9x8+p4j2U3KR7eS8SjZCbrMPl0G+T7KRVSutPHZ+jUtRbVaxfr6Ora2trC+vu4y\n7PnUGpq2x+OxA57V2zlOnbCMg+dWWQc9LasgNZ0LyQx8MU9av5WU7FzZhWPVORteoQxL1Uh6H9tQ\nCzJp62wZFzC6CF10DSzTnk+aycp44jaJLJjX3UXEcsopp5WlG8d4LJe/KhXqdSKVUqrVKra2trC5\nuYlWq+UizC1wDCCCWVjnP1VngHhJk/q9zylQd00NwaDUo+qPT+LRdrVenwlfJR6faqVzxN9hGEbA\ndUo0FoDm3KnpXucpKYPhXSQF94HoaSNxdOOqVpJO7vuf1+Je7EVf+FWD01msAlpXGphrSeOieOTw\n+vo6tre3sbGx4ZKZj0YjZyZmeesvY1URi/PE9UnLWguUJV/8F4BzZnHfnKglyrah7aqaZVUqiyER\naGff2A6Ac+eM6VykqdFZri3ybdg58dUbh8skfaNWZU0iuyn5mHgc3bjEA1w9oPs6UaEwP1tqNBqh\nVCphZ2cHW1tbaDQaCMMwcm4UMMdmRqNRJEIbiH5c6sfjYygW6+DitPq+ftjKpFgH27N98JnRLfOx\nbSrj0fu+Oq1ExHrJbHikszIbX+S77bf9O+naqpCdFx9jVUapm9RoNMJwOIykXrG0EhJPVpA5zXqw\nKpatZfrhA+18kl0cuKfX9Hq9Xke1WnXSDo8gBqLJqzqdDtrt9rkzsdge8+zYCG27qHUx2j5b1chn\nDrfShm9BqxrF/5VhqSexnRNKPKxfMxBqsjGOgUngAaDRaLhz3HXsOl7fQYD2vS167brIJxklST6W\n8aikfXx8jF6vF9vWSkg8iy6uOIoTzRehON3U1pMmrvr+zkqq7vgWKevVBWf1a2CeooFhEsA8T7KG\nTFD1YtpTuzjZJ/bLJn23qo7PuqQfpv1gKVno3PMa29T+qDpmz9+yQadUnayvja9/qirQw1uT2m9t\nbTmvbzJw+61Q6rsIA0la6JdZX1wbHBOxMX13Gq9G6Zqn0NLR8vT0FJ1OJ3JumaUbZzxpWE3cru4j\nH17gE8/j2rNi+EUoTSJLGpfFWRSfUNXHArG8boFTXdS1Wg3lchntdtt9GMPh0J2ZruCpPSaHMV4K\nTNv+86O0Ko72y6p5dNqzEg/DONgXSmM+4Jp10AzO+slgNTZMpRv9Ljg2tq0pUwFge3sbzWYT3W4X\nJycnznUgLRLbvlNLdqNdVnJPwgOT2lTVie82DMNIpD3nnonO2M54PMbJyQn29/dxcHAAAF5Gb+nG\nVa1FKAlgtQwmi5ho/1esIO2ZOOAurp9Z6iRxd7dMVD9cHV8cfsHdnxIPFzF9UfgxqccudzcuWKtW\nxKkkvjlhf+KkRYsVKHPRcootaXs6bj6rHsV2nnzfhO+dqnOgEhccGc5kMnExb2SYNrzjOuiibdnn\nuckNBoOIrxIAl7mAUh+ZcK/XixgrfDCB0soznqxcPG2gWfqQVae1zyX1M4lZxv2tDIQv3e6WKlGo\nVKFlGHFOtQGAC3rUINEgmKfw1EWs6piqM9o/BZStBSxO6tTxKNNRKUvvqXhPdQpARLphn63p3M6T\nSku+749t+EzCKp3VajWnog6HQ8cwrVvAZdBVMrE4XGc6nWIwGDiMS+P7hsMh2u02Tk5O0O120e/3\nMRqNzn2HSf2+cVUrjnwLOWkgimsoJalsltSUqh+oXTy6A9j20ybclrFSDDBPlKWL1zeeuN1brTDq\ngUsxWjEabY80mUwwHA6dasUyvn5rPXoOlS5An+VHVVtrjmX9Wh8lLeaQ1rnQZ3zezj4QOO4dUWJi\n+/quNc6rXq+jUChgNBqhWCw6IJWxclm/Wx8tsiFnuRen3iV9qz5VHzhbX/1+H8fHxw5Atrmb4lRx\npdxzOaeccrp2WlmJZxmKw230XlIMid0F7K5lJY8koNC3s8ZJX3G7Thag0QKkCgpyV1Ysh7hNEAQR\nkNDWo9IKEM3zQ2nMShh0XlQQmXVoJLjPi9g6HNq6qOJUKhVnZdJn7Xzad2XfZZoK73Nq5P/si86h\ntS7eZlKjBCVmfkODwQCdTsdZruwxSXw+TeJZuQyESaJfEvFjU13Uh/vELWbWr3l348oo9qC4Buu3\nVherYvjGo4vBl2zL9kFVPjICAE70B+YqF7EaVd8qlco51cbHeLXvCriqmdXOHa1DWo9iM7zG55Xx\nqCOgjp9ZAZXxqAXG+hPFkVXFlGlyrPpO7ckX+gxVVJ9qlUXdWZay1hWHR/Ja3HUe7Fir1VxaEB4S\neXx8jMPDQ3Q6HWe9svXxnd5KjCcr2cHZjy9Np7eLLQ4YjLPE+MplwZN80pQucuuzwgXGnUeZDgCX\nrL3b7WJ9fR0AsLu767AdK71YUJg/9qNRfEPH5wudsDiblWJ07pTxWIxA50XH6gOOlQEnxUipdKbt\nWCzP17aVzmxffZjfKlMa45rNZg5UDsMz69bR0REAYG9vD+12G4PBIJLBQOtUh9A4WnnGEycS+7i5\nqj8qlSjFMZA4/x+9ZuvR3TBOlbMfre2/XqdEQGmEHzgBYVpQgOjink6nGA6H6Pf7aLfbuHfvHgDg\n4cOHqNfrEQnOB1RbBkBQV9UrqybpIo5jSvYDtNKhj/HYuDGdFz6jqpwyVZu+1JbXtu17VhDa/q+S\nHn1atJ/W3ykJtF2Gskj7SmmahP327f869uFw6Px0AODly5cRiZzfHoBz0urKMp7LeDn6Ifkm0feh\n+cRi34LU/+OYUdxL1/ZVsuBi0d+2nGUCZDqDwQD9fh/A3EmLPiT9ft/FYFEq6na7qFar51QybYf9\nspgNn4lLk6qMx6oeFrPR8ercqKOimufZjmIMdl7te6AqxvHYbyRNOtXFpv5K9lRQ3QjYDiPafd/O\nKpL93i3RnWA8HqPT6eDo6AjHx8cAztK/cn747dGUbn2fbiXjiZNw0v5PUoV0AdoPWUMN4uq3H3zc\nmPhxcnckIxiPx+d+1GRMl/OTkxPHWOjsR8ZDMM8ynk6ng+l0ilqthlarBQCurJqI1WXASg4+1caG\nQyhWZBmPOtjxhyCx3RRUctD2Vcqh/0gcfqMbAjEkn4hvNxcrIQHz8ABfalSfCsZ5p/obB0ZnIV/9\naZRFCkpaC3HPcy7DMESn08Hh4aHDdIAzvJAYmzqjkun72vfRyqpaSTtI3EQq19Xd21ePfSmak4bi\nsy5MLhL16LXxTLPZDL1eD/1+390jgwHg4qHowEfGQ+mAnp/Un3Uc2raOl+3yfq/XizAc9cXR/iij\n9TnJWczE/vZJalS79EhiDffQebJOij7Qlx+z+uBYKcXej/tmeN0yVZbVEAqVfHR8Vt0k01G/qDRM\nMa5fi9CymoLdnJPKDQYDHB8f4+DgAKenp+4bZl8tsO+DOW4l41mW7ODjvCh157KTyOtcsAwI1B8u\nYGUE0+kU7XYb7XY7IpIr4+H/fFYtQFZtBHDupZLoTMdFRJVKx8AztlRtI7OzKhTb1cVlpQS7QCyz\nUPO5j1FYxmJVLdapc+CTUkmKx1AKSyLicvoTx1h1TJbx2LARxXh87+o2EcfT7Xaxt7eH/f19dLvd\nyBzwvXPcGlPHOtIYz+2B4nPKKac7Qyvrx8PdTlUnfY73VTIgbgCcF+etikQpRAP9qKow3YFKKklq\nEtvjLm7/5k7gU0/Y9zhV0FpnfDuz7j7VatVhPGtra6jVauj3+y4MgmOzvif2vXA+rcTD6yoR+czy\nVoLzvXdbTucl7p69xt96lLBvXKpiKW6kUhNJ35kG01J9VAxIv0W+yzRT8nVTnATiw0DDMHSWrL29\nPRwdHUWOTCoWi05yD8PQqdV05wCiOZriaCVVLTKc6XTqDqLT840UE9CFrIOnCO8Dc8lsAETUnvF4\n7NJF8GMGEGFeysRsfAqASECdVR98wCgQPbeb5ewi0o+bz+vYp9OpyzZIc3qtVjsXuKceyXGLDpgH\nYKrqY9Uwy0BVtSK+ROZtsSDiQTqHOudc3ExNYVUjX79VLVOyaTD4fVkmpXNMZm7VQO2Lzq3vHd8U\n+RiNNaboGuOcMy3uwcEBXr58idPTU5cuRaEJbsA6B77NNIlulPH4dHJ+PLVaDd1uF59//jlmsxk2\nNzcdaEqwi1x3NBpFomQBOGlEmYUyHsvE7I8lfZl8Cb6jWxjlrdcsc9IdUXdy7RM/DN2ZLX5g+1uv\n1/HOO+/g8ePHAOBMomTchUIhEm5A0sVKYLtWqwGAM98T7KUuzzHqXDKUQH1cfKkjiDHVajVMp2dR\n0GRyLFOtVtFoNNBoNFyEPXEstXyxb8oYZ7O5BzT7REdKZcBceJxzBcdVirKgMsemc6DHHOuCtORj\nTFnA3qz37eYFRN0c+B6q1SpqtRo6nY57x/Qf+8EPfoDPP//cWRb1u2MkvjJafq9q2Vp5cNkn/vHj\nePnyJf7mb/4Gg8EA9+7dc9LM6elpZCeaTCbodDrOjwWYL25Vr3yelnHMz/7vAyF9u68uADtGi/xz\nl457QfaDsgAqGYAuoM3NTWxtbQGIZiPUBcV58bWr6oh+PFby0R1T58A6HHLRq+XHms754erzyniC\nIHBAuTICtUDGvQ81m9v2dVw+c3gQBJGMhhZQVkOBlfxuknQsJF1XHA+j7znn/X4fR0dHLr/O2tqa\nG7Om/VCmw7+tNJrGLFfOj4cSzMnJCT7++GP81V/9FY6Ojpz6ACCSiY4LhExJd0GLB/hUGKtuLCIq\nZ9m9kjh/nEXFql3WZM/fQRA41Y4YTrlcRrVajYxNd2rW52OOYRhGfGc0+bviOupYqOqRqlDAXLIp\nl8vOhA/MJUXrx1QsFt3Rwa1WK8J4eMKDzqUyAs6ftYCpeqVzoAvJV5+1gHEe6fYwGo2c6wIXMDBX\nUS1l/a4uq5yq0rrpci5ns7P4Kz2u+cWLF3j27Blms1nESmrXEXB+A/Z95yst8QBR3bpWq0WwCYJc\nqibox6USDoDYIzW0jTiwk+Wy9tmS7wX4mF9WUkZpMQRlRpQ8ZrMZms2mA5dZXjEdNXlajIQqmdav\nc6b9VwnF91FS9bDOi9ov3UDYH77jWq2GarXqRH0yRIsj8DkfnqF98o1Fd29lTFTVisVi5Ix5jkHV\ndbuRrQL5sCvdcMhAKTHzm9jf38eLFy/chmFxxDiKWwtJdOOMxy5GfnDlchnr6+sRz1l+lBS59aXz\no9QdTClOuogrl9TftLHYPvikLjtu267FmuyL9zGzcrmMtbU1NJvNc8+R+SRJffphMkJZvZHtDhg3\nlyph6Yced3QOJTZtjxKOpp+wnslqYaMEyB8LZOs4tX3Fp5QhqZrFsSheSAmN1i31Bo/zdo6jy5SG\nLAPlc3Gb4XA4dF7J+/v7ODo6ikh5nCNbl2X4vm95ZSUenwjX6/UwHA4dKGiTdwNz0JTAKSfb92HZ\nSUgTB+Mc9rKS9Wb2jdcn+diXaMv5JBB+8LPZWTTx+vo6NjY2nOjsM2vH4SBa1orlWpeetBm3rKtK\nSwAAIABJREFUEyoD4OKlKmjLUHWzKqCGMKjao2oo+83+WXVS34nPu9knjZJBap9Y12AwcO4IpVIJ\nzWbTldNQFk0jm0S++1m+u6QyXAdqreJccW7JJEulEg4ODvDs2TMAcKZzTf2q71rnKUtfku7lDoQ5\n5ZTTtdONq1qW6LezsbGBSqWCer3uwDCrelDPJpf3mTGtpJP02yc1LUKqZsUBjFklHh+wp8Tx0ueo\n0Whgd3fXzRsQBW+TyIrnOrd6ZK/PKuiToFQNAc52Vk2fwPGpxchKijasgaqWzofmGiJZ/yqVWizQ\n7FM/tDzr4Tul1TQIAof9UNphXfSnumlSqY/fNVVVvgf67Dx9+hTAmVXLOkbab3BZKc3SyqhaJOr6\n1WoV6+vr2NrawsuXLyMYAT8EdYbT0w98lAVYBvzmdfY1y3X9yG39SYxEFwLBTWIVXMhKXIj9fh/j\n8Rhf+tKX8PjxY2xsbLiyw+HwHBNjWz7Lj/aRKhWZmILJQPQUTZ/zXLVadebmfr+PMAwjTpt8x6xf\nz/XS8RHjodqt6rNmPCTZoE3LRLTfdkHxvZGh2Sh+vb9I7hk7N0kUh5ssUrd1V1BMhn0fDAZot9su\nHgs4w1d9arquqyQ1S1XgNLp51myIE0Qz38bGhnN04k5Sr9cBnA8StB9AElAcdy8OnL4MxsPyaXUp\nZsXyFnuixMO27t27h8ePHzvzs68vCqT6GKziJ5R41JJIrIQfMBewzzStzmeUDtgmmYzmuyGuov4/\nivGRCfkYjzIs9ot9sf4ncQ6ZineR4WueHa2b8zQejzEYDCLYVZLz4HWQlRqBqJMsv6vBYIDnz5/j\n8PDQbQjNZhO1Ws1tWJfNVJVWTuLRj4JWmkqlgsFg4F7o+vr6OQvGaDRKVJV8DMDXH1Uj4vqcRElm\nR+2H/eCtBGLd0X0hDMB8gT969AiPHj1CtVo9Z4HgQqH51ILMVs1UKcH2W1UfXrNOmwoQs++VSiXi\nuGYlDrZB1Y6MR8FlNZ8Dc0ap7hVqgWKdalWzoHcc42E8HvsPzI8LCsMQvV4Pp6enOD09jURvU0LL\nCsDa+xf59liG6p66RtBjmeNrt9v49NNPcXp66vy+qtWqY1ZW4iHFAfj2nr4nH62cxANEP6hWq4V6\nve5NT6ATQ93bUpzYmsR4kijp5SdNdNx9u2B4TdVIXVzaj8lkgmaziXv37uHNN9/E7u6us/gBUQlE\nmYJlfipFDQYDdxa2VX0Uv1JpU9UaFc2V8VWrVfeBa1lryeKHrwGZ7JsyCp07ZTxWymMd1gpn36Nv\nY7LSL1V6SoOaJsUysJsii+0AiDB8MuCjoyMcHh5iPB4794s459u09rStrHTjEo/vb2C+Y9GDFZgP\njsFsPj3U1hmno/omVT/iZcmqWD7w1d73MR7tv+0fME+3+cYbb+Ddd9/F48ePsb6+jjCce3HzZE1g\nLm7bhWjH3el0sLe3h2636+YdwDkfGl3kvjlXIDoIzkIeqCKrw6PdUHyMJ233tPOiR67QCVBVSLZl\nJR7F1IgJWWavY9Z3qN+XfZ9xlFV9X7QM+2O9snkYwPHxMfb3992hjerpbmMX4xiLrivfN5w2hpWU\neIAoxsCPXkE+tV5QdLb+BkpWn09jDD7Kct+3Iyc973tpHKO+WGu9IXC7vr6OL3/5y3jw4AGazabb\ngXUOFLNQa4xKKrx2eHiIzz77DKPRCLu7u+7j1bPX6TtkVSsGiOoHz/dTr9cd46H0pJYuTWsBnAev\nLebFMmyDjJNgNlU2zcWsahcZm7VCTqfTyPHOOo/WSbBaraJer7t0Knw+LmziOohj1PdAZ8zJZILB\nYIBnz57h6OjIqY4kXTtW6vExlYuohTfOeOIYBFNP8BwlFX01zw4nmru49Y7Ven3/68KP2+my1JM0\npjiK2xntzqqLTyWY8XiMVquFR48eYWNjw1m5NHaKz1hTuJUC+QEeHh7iyZMnKBQK7oQKIBoEaNOC\nkAEoOGyd14jZkNTBLQzPLF4aKmOd/XybhTIpzstoNEKn03HR9So5sQ51KPz/27uWGMmus/yd6urq\n7qrq93hsy2PHcWIl9spi4U1AbFAUsYgRkaJILBIiVoCIlAWx2WQZgoRQWLAJREoiUIgSKc4OEyEW\nIEIiYpPA2MYOGo9nPN093V1d1bce/arDouo79d2/z62qfkxXt7m/NJrqW/feOs//8f2PY7U1DXS0\nuWBkuHyWTId5W+y3fc7O7VlplLZDwJ/jWyqVwv5oNptYX19HkiSoVqvHTGX+ncV0zto+Uh5AmFNO\nOV04Xcp6PFSZAWBxcTFI85idbnEcWy1Ogwxp76tUo/RSU0LNN6BnQjBcnp6WGPCoblwL4MZolOTS\nPDWSvVapVLC8vAzve54WlXT0BFL6q9aifaCtz7FpNpuoVqsolUoBeJyZmQmnYBSLxZRJZ9vHdx8c\nHKTOCKNWsLOzE8w+jvne3l64n79HrYj3WM1HNV6OfZIkWF9fD+85PDzE6uoqZmZmcHBwENrHlBvV\nnrTEhQLWJLteNVdLwXY7JqM0gHGxnmEwAklNVH1ub28P6+vrWFtbQ6fTCRq1erK898dqiQ/T6HV8\nLKg9CucayXicczcAfAvAwwC6AL7uvf9L59wygL8H8AEAtwB82ntf7z/zEoDPAzgE8AXv/Suxd2cB\nvMDAI1OtVlGtVlOMh25hG7ymC0M9EGRMuiliLme7WDh56spWnEAxJV2ooxbSKPNMJ473xjwVanZ1\nOp2wafS0CgvWMtdI36n1ZFhdrlgspnAZBfQVvLQMUr1QOoadTgeNRgNAr56S9x7VajXFpBQMJw6k\n5TR4nWRjf2gq68bRmCGdP5b8UE+OljnN2jx2nfHemIl4XmSxlyxSpqfjcnR0FEyszc3N4GTgvVqm\nREv6xkJT7Dq17eP1MzMe9JjHF733rznnqgD+wzn3CoDfBfAj7/2fOee+BOAlAC86554F8GkAzwC4\nAeBHzrmn/SmMW+dcOC9bJbRG9nKj6wAC6eBC64kgE+K7KFmJRVBTskd66LEt6r0BBtnben+sP8PI\nTmBW2ADfVSwWUavVcOvWLTz11FOYn58PWg+fV82Pkm5qaioVV8P/tcYMAzh1TBV7Uk+UZpQrEyQO\n1Gw20Wg0sLu7CwAhxaDT6WRGnKsGa7EeK805h957LC0t4fHHHw9zNz8/DwApZqQ1l2OCKxZyYOcI\niJ9AoYGJFj/Kmu/zIp0fnRfWUE6SJHX4HjVOrbk0qo12jcaY4Tj9Gsl4vPdrANb6nxPn3OvoMZQX\nAPx6/7ZvAvhnAC8C+CSA73jvDwHccs69BeB5AP8+sjVCHATGf2gcSVYEri5KNSko7VSCanCVMiW+\nUxeVZVqqIY0rjU5CCm7rb6uLlH2o1Wr45S9/iYWFhVTwIMeAGhD7TvOCoD3Q02YYMLe7u4t2ux3M\nLA0qJONTYFn7TM+iMp1ut4t2u416vR4YDxc641+UIdME1lrbGjgYM33YT+89ZmZmsLi4GN5TKpUC\nGK6mFd9H7VDXVCwgUYlrhsJJc8PGMbEfJLFtFDhAr6bV9vZ2qCdOwcMwAwX5L4pOhPE4554E8ByA\nHwN42Hu/DvSYk3Puev+2xwD8mzx2t3/tGGWZWhyMqakpzM3NoVwuY2ZmJiwSjUmxz1nsZWpqKsQp\nEP/Q2AUSzSliFyrVqQ3RVGEkrg2qi5lZp1W7+T6VYOw7MGA829vbePvtt/HII49gdXU1VYun2WyG\nxEbFd46OjlLeLzKsVquFWq2GJEkwMzOD+fn51DPWlOE1Nfn0e84j84KI8bD9ajKTuZA51Wo1HBwc\nYHZ2NpUqwTEBBl4Y/duWISW2RAxHTWZ15x8dHQW8Q8cqy9QiTsiTO2KpNqfVeGJaxTj3cwzsfDca\nDdy/fx/1eh37+/uoVqshHcVidapdW6EQa19M4KpJm0VjM56+mfU99DCbxDlnR+Fc2SUHj7V3Z2dn\nUy5LHZTYhFDKaci94h9q23OhctGVy+UUPkEJoblH5XIZ+/v7qNVqABA28nlIjdhkW8ZGRthqtQJo\neOPGDczPzwe3davVCpgNTVZuGuvO7nQ64Yzs/f39MO6kWGCZSku2kQuZjGd/fx/tdhvNZjOMPc1Z\nXZhkRBxPAuJ8L01tNb1UyyBGoyepkijl+YyeHsIiWDSVVVOwG08/Ky4VSy05LZ3H+rFz02g0UKvV\nUmECZPS6Ds4TmxplAYzFeJxzRfSYzre99y/3L6875x723q875x4BsNG/fhfA4/L4jf61Y/T9738/\nfH7mmWfw7LPPhsZycU9PTwetp16vAxhE7eoCtKou1WBuOGIa1lyjlObiZqT09PR0WPyMumUd2lKp\nhIWFhZDvAgB37tzB9vZ2WLynIStlbb+U8Wg/kyTBxsYGNjY2cP369WPV/smA1dykFkdqt9tYX18P\nGgf7rOMVi2RVQJafdUOS8VgNSzPP+b7Dw0NsbW0BQGDuPA2B/WBOHvumGtne3h52dnbQarXC3FHT\nIaahWpFW31OPl8VprPlusS69R8d9lJZzFtwn6z5l0vRCEt8BkDJd7Ykr42hYo7Qv1aCG0bg75BsA\nbnrvvybXfgjgcwC+CuCzAF6W63/rnPsL9EysDwP4Seyln/rUp45d44TphM7OzgbPFjvHDaH3s34P\ngACkcdOtrKygVCoFU0kXZqFQQKVSCV4c/lMMRMtgzszMYHl5Gdvb20ELYzTo3NwcFhcXT7WAbP7T\nKHVXTbBarYZ33nkHlUoF165dC/cVi0WUy+Ww2KgBKe3t7WF7ext37txBp9NJHSujpSzITBRbUcmq\nWBL/bzabwczifWTsCtLTBOIGIR6h46KhAhwDzgkZj3XLc341XEA3GrWATqeTAtyp9Wi+mC2Foe9X\nL1EM/4rN96jvx9VA7BoqFovBvAV6JjfHZHZ2Noy7zqX26yxaF7Ejtp/Mz9I47vSPAfgdAL9wzr2K\nnkn1J+gxnO865z4P4B30PFnw3t90zn0XwE0ABwB+32f0ZJjNqtK1VCqFLHWgZ0Lo5PIfMSFg4EYt\nFouoVqt44oknsLS0FCQb30W8ZmFhIUwKGZguJrZnamoqJGaWy2W8++67od2NRmOoR2Rc4oYe5mVQ\n87BQKGB3dxe3b98GADz66KMAgNXV1VBWBBhoitzofFen08Hm5ibu3r2Lo6MjLC8vB1CWZy7R/cxx\nV2mvSalU3ckIkiQJjMfiU9TCiAnwd9gmMgmah1br0v7z9yzWolgdBRefsa55ntJBRsL1o8+RsSig\nbCOg9Ts7byeh0zxDjYfaHzA4G40CVT25qq3ZsX2QNI5X618BTGV8/RsZz3wFwFfO0K6ccsrpfUyX\nJjs963uaSrakp5VsBDY1and6ehqrq6v40Ic+hOeffx6rq6vY3t7Gzs5OCGajan50dJQ6H1oT6FT6\nzc/PY3FxEZVKBQsLC1hYWAAwAENVeo/Tx9h4qPmo36kazM+UyCzs1Gq1sL29DQC4ceMGHn30UTz0\n0EMBuyoWi6HPVINrtRru3buHtbW1UDS+2+2i0WgE08dqEwroKlir7vZOp4MkSdBoNFKBi2qeELtS\nMxoYgLd7e3totVrHMqdJFrvhPQSY1SVOTY/xWoVCIcT5EE/kHAIDwJtjTg1BQxMswGznKGuOx/n+\npKRmuQZsUstnaArjudhmjWmz4RhZZn7Mg5vVlhhNPEk0i9Sun5qaCnEqvGbd2FSBueDoNp+bm8PK\nygqefPJJXLt2LWw8gpgMqOIi0+JPGr5fKBSCjaxqqkbasj1npZidnbWY2XcG/yVJEhgKXb1cUDwu\nqFQqhSxuANja2sLm5iaSJMG1a9cwNzcXcB/iBOqmtq5SzoViQDRdms0mms1mKsBS38EFqikrAEL8\nT6PRSEU0243N/pAh8PeJvTE+idgWHQ0Ez8l4KDDUzLUmP8dRzUm9Fpufiya2p91up+Km1FsHDMZR\nmUtWSMiDoEvNeLihnHNYWFgI+E3M28PBUzc5gLB4WV+mXq+HI1oBBKB4aWkJ09PT2N3dDYAjtZhK\npRJsZ9rIOzs72NraSmlOMQlxEu3HMpdhnhJqDNQ6NG6G3j/G0LC4F3EpajP3798HAGxsbKDVagVP\n0vT0NJIkgXMuMCfdWLpJFSfhBuTG7HQ6IZaIWgbbboP0NJ6HbW80Guh2u5ibmwtHGNssea4RMjFq\nPpxf7z3a7XYobsYDD8mAuKbInOw8qLuZ54ZzrHVuFbCOpd8MWwOjvo/FEmU9Q4bPQFBtEwM2VYAo\n2WjuLCFK5pT1/TiM61IzHmAQ5apeJutR0M2oi5IJj41GIwSP8YhfBtotLS3h+vXroZzq1NQUdnd3\nUycHcDEfHByEQlnFYhH1eh0bG70oApZ1YBvPSjEmFvNesCwDExapbQAIDMj7XgLp5uYmqtUqCoUC\n2u12MMkIQi4uLob8KWopNk6H1+hRIzPgOPF7ZXraPrZd+6QbWeednklGI8/Pz2Nubi6Mi2ob1nQj\nE6EGyw1JDdAGkKoDQU0zLSzWbrfD82Sk9tC/SWs8rA2k8UwUFExlUe3cmvTcTw+6H5eS8XABquo9\nOzt7rGgRF1ksxF1TBYhTzM3NYXV1Fd77IOkWFxexsrISPAEafMcJaTQaqNfrIbhOTQtqRyzKZRe0\n7RfbPu4Y8H5KLfUMMWu+0+mgUqkEk0Mxl3a7jc3NTWxvb6NQGJQgZdEuAMGFXq1WQ7Ryu90OG5q/\np94jzRrXuCFuVJuzpW5p1U7IpPhbOn/NZjO4udWzqcxJPUyMsaIAYXu4FlQznJmZCdoQx4BaEjVd\n9pX38LBJAAEj0rrQbHfMLX0SPEcF67ik8UytViucPsI2OeeC5slUGDJb1XCswBuF8cS+H6fdl5Lx\nAOmIYo2zAQbSiYuWmIzl3pog+d577wVJTnML6En7u3fvhlIJ9Xo9JDQqmJokSSo2yIaFHx4eBhf8\nebklY7iOMi8ymBj+oePEGBqmmbByHjfY9PQ0qtVq0HhYkmJvby91yoT+BsddNTxeb7fbYSN3Op3A\nCGxJD9VyYikHZBTOuRSmogysUCikGBA1EL6PTFIrE7DtWqS92WyiVqvBe49KpRLW0+7ubhBcGgCp\nlRxtMOZZ514xFyXrWIj9HjXbVquVwnT0fZr+YtfqKFA4i07a54kynpgdrJKDZM8E5wKiZCXWoJtR\npXu328Wbb76JtbW1EEmrOUGtVitISjIXZWI2TYDttcAcc4pim8j2d9R3WequxlxQgpEh26RLNYH4\nPo36pqZC/KxUKoVo4SRJcHh4eCwKmm3V4DPNI6OJRebNNmp7NDJYcQX+TaJJw+/p5bLjwmhpCqDp\n6emgmbBofalUCvl+SZKg3W4HPAvobdh79+6h2+2mTLqtra2wVjg+zB+jaauaoWo/o+Yya+5j1/kO\naw6qudTtdsNZWVzTwEDr499qLmf93jBsUrUduy9G9Yl06TQexVUoDTWbFkjXxwGOF0LSd+3v76Ne\nr+P27dth4XEBAwggHN3nnCR9f0yD0Y1j23BRpMxvHOCaC5TeO7quaU5wgwKDTa94APEkxUr0TCmL\nLygjVOBYGY+q91kbjWAxTV093ZTmrnrDCoVCwK2SJAmCSrU1Psf+MYOeaRn0ZO7s7KRynDStgu9T\n085eZzu1X5bshrdmm8WQrNZHgUKtfFTulRWgWZRlZg1797iUlz7NKaecLpwuXQChSjqVlDauhhxX\n3cqKuQCDEwPUE6GnJAKDHCSr+sfU2RjWEpPSZx2LcaVJTKLGvGF6nX3h2AAIHixqKOr+piZB03Zv\nbw+dTgftdjuMKcFXajzq/QGOl+OMSXiaKBbopIbClItms3kM01Jwmd5IYniqIfEZ4kGacEpMit+x\nlAY1QQAhcdge2mc1npPWt9H7LMCuoQsWG9Ox1Lgr6xY/KY2jPZOGmWTD6FIyHrWbdVESDGV1/263\nm0o2VMajDEkDCxnzoa5dfo7l2LBN56FinpeaehqyC1cZDzEbLQbGmkVkKgxKI6Om10sZAbEDRpBz\n02TVuFGTxMa+6H3AIAFVGUHWvRq5rGayMio19/h+PWtex4kYGr1+9Kwpk7S/cZJNaO9VuIFtHQZe\nM2xkc3MzlJUdh/FktfO0wjMmCLPo0mE8QHryuHALhUIqoK/RaODo6ChV7kLTFbiYNaBQJaNKKAXI\nbMrD+41Ue1MsgDgBS4kQV6OLmZuZi4reona7nfJ4kSxYrIwna8FbTSjmSbMh/fY5blZ9v0akc45t\nOzQ2ScFaOimAHuNhMKldK6fVLixZ/EXbS+GhTIhzsLu7i1qtFkIjzkNAkh7Efrh0jEdVbJVWU1NT\ngfGUy2Xs7u7i4OAAc3NzgfHYjGFbBIzXNeNYVe+sxZOF9vN5/T/rPvvMg2RuWZtaN7LdrLZcBDUc\njX7VlANe08JcdlOoiWBNCAu4chNbs8PmEekcW0Zm14vewzm246Tzp5np9JZqQTR6tDSMg/1TR8Qw\nzS1GMYatz+radW7gwQUGOVk7OztIkgRHR0dhn9gxjmll42o8WXtgmKk1TPO5dIwHOO6ZYgcoeRgA\nZV2rWUwh9m7dZKPImilXnWI4kEp5NZN0vKjxKFaj85PlreK9o9qQFcwWM8P0nSo4rFbAjRuLvbIb\njzFA+n49iZTfKwO0gs37Qf7eaUgZj76b76cw1drUDF1QIXBWetDC8dJhPIrRqCRjeD4wYDy2vq6W\n06QmYyUlF6LG+/D+cbCGrLbHpLClYdLhtCDdsN/Q98WkW6yfvI/gstbyYSlVBmZS8irj0fdaiWt/\nSze5ttP+rbErarKpE0A1DcVE+DyZU8w1rW1WJsWwDWW+DMWgS1sDIwGk1tkwTTk2JrZNGjag0IMC\n2K1WC/V6He12O8U4Y9jWuOvK/t6DoEvHeHQDk3kw9JsTMT8/HyKSFZ9R1dyWcLAMTT0Puhhjkviq\n0TjMRxeVXqOnh1UIFxcXASCUuCBWYk0uYJC0qV6nUe1UDUnbHsODdOMBac2YwXxZa2pUW5TB0cyy\na4ECy1ZGzIq8PiuxrxqDREFKE5jVCIjNqcDWvl02mjjjGaUZMCrVOZdiPEyQHOWJsguVJ0NYV+9F\nkNWKYt9lfT8uDTMLVZpa4hhwUxFIZRlVStZGo3HsFFZlPFbb0D7HmIvd4FZrGhVdaxmUblK9znWQ\nZbbZZynEbB4W8R1qWTGGHtPuxtn8dn1YzY4aFz2PAFKR9gwziUXZn4YZxdZrljZr53oU5QGEOeWU\n04XTRDWemzdv4iMf+UjqGqVTTIpS4+G5QBZU1DIOWqjLqp8WT1E1OwYMDjMJlSynb7fbIQYk1scH\nRePiRzGtQMHZUqkUTK1yuRxq9DSbzXCSQ0xTi5kd9nezwOJhKSgx4Jh/E4+xB+wBaRzParexseGx\nQdSs7e+ppqWYEN8RC/obR1Ow2JAWT6MmwyLuTAnhwYexcIVhWlin00kF4p6G9Hfsb4x670QZzxtv\nvIGnn346+h2Zj+IGdIFXKpWQkKnAo+JBNoGRtjGDCpVUzVbc4SQUey6L8TxIypr82AaLLUxrPtGT\nWC6X8dBDD4XNu7W1hZWVlWhcjfVMxdoWa7eNbrZ9seC//m/P6dLCZTbOyMZ7aRv4G0mS4LHHHku9\nl21QdzbNLzumw/qpn2NmCttEIUqm6r0PgYLKeNgmZfijcC0yHqXTrPvY743DzCaO8Vgbnh0gg7Be\nBmBQm0fBNtrkFl/QrHV9r240zTKOxZMoZYGg/KzawyTI9i2Gp/A+kn5Hja/VaqWOmGHZDC2v0e0O\nDkgEEFIJYhJff9MyK2XaMZxD25blddR+Wbc8/+d1daurhpuFf2mbNCLeCizek6VB2nFXwalzRiKQ\nrw6TJEmwubkZytt2u93geWR4CYVylsaTtTaHjeswOg2zmngcj220MhIrETgIlACWYm5UzUymaaaM\nJaY+n2YgJ8VoLA1r+7A2WgbAgl7UIAGEOj5U0TmmJHX/jgNIDmu/3cwxRjasD1n3sc2WgWU9EzNb\nbbT7OILmNGtK6+XovGh1Qe0H1/lpD5S8SHKnVa3O/MPHj0DOKaec3ofkvT/GlSfGeHLKKaf/v5S7\n03PKKacLp5zx5JRTThdOE2E8zrlPOOfecM79j3PuS5Now3mTc+6Wc+4/nXOvOud+0r+27Jx7xTn3\npnPuH5xzi5Nu57jknPsb59y6c+7nci2zP865l5xzbznnXnfOfXwyrR6PMvr2ZefcHefcz/r/PiHf\nXZm+AYBz7oZz7p+cc//tnPuFc+6P+tcvz/zFgoAe5D/0mN3bAD4AYBrAawA+etHteAD9+l8Ay+ba\nVwH8cf/zlwD86aTbeYL+/CqA5wD8fFR/ADwL4FX0vKRP9ufXTboPJ+zblwF8MXLvM1epb/02PwLg\nuf7nKoA3AXz0Ms3fJDSe5wG85b1/x3t/AOA7AF6YQDvOmxyOa5AvAPhm//M3AfzWhbboDOS9/xcA\nNXM5qz+fBPAd7/2h9/4WgLfQm+dLSRl9A3pzaOkFXKG+AYD3fs17/1r/cwLgdQA3cInmbxKM5zEA\n78rfd/rXrjp5AP/onPupc+73+tce9t6vA73FAOD6xFp3PnQ9oz92Tu/ias7pHzrnXnPO/bWYIVe6\nb865J9HT7n6M7PV44X3MweXzo495738FwG8C+APn3K+hx4yU3m+xC++n/vwVgKe8988BWAPw5xNu\nz5nJOVcF8D0AX+hrPpdmPU6C8dwF8IT8faN/7UqT9/5e///7AH6Anqq67px7GACcc48A2JhcC8+F\nsvpzF8Djct+Vm1Pv/X3fBzwAfB0DU+NK9s05V0SP6Xzbe/9y//Klmb9JMJ6fAviwc+4DzrkSgM8A\n+OEE2nFu5Jwr96ULnHMVAB8H8Av0+vW5/m2fBfBy9AWXlxzSuEdWf34I4DPOuZJz7oMAPgzgJxfV\nyFNSqm/9jUj6bQD/1f98FfsGAN8AcNN7/zW5dnnmb0Ko+yfQQ9rfAvDipL0A59CfD6JKywYoAAAA\npUlEQVTnnXsVPYbzYv/6CoAf9fv6CoClSbf1BH36OwDvAdgDcBvA7wJYzuoPgJfQ84a8DuDjk27/\nKfr2LQA/78/jD9DDQ65c3/rt/RiAI1mTP+vvucz1eNF9zFMmcsoppwunHFzOKaecLpxyxpNTTjld\nOOWMJ6eccrpwyhlPTjnldOGUM56ccsrpwilnPDnllNOFU854csoppwunnPHklFNOF07/B2fyLydx\nB5ycAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcc1d4a23c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# place "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
